Bacterial Density and Biofilm Structure Determined by Optical Coherence Tomography

Optical-coherence-tomography (OCT) is a non-destructive tool for biofilm imaging, not requiring staining, and used to measure biofilm thickness and putative comparison of biofilm structure based on signal intensity distributions in OCT-images. Quantitative comparison of biofilm signal intensities in...

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Veröffentlicht in:Scientific reports Jg. 9; H. 1; S. 9794 - 12
Hauptverfasser: Hou, Jiapeng, Wang, Can, Rozenbaum, René T., Gusnaniar, Niar, de Jong, Ed D., Woudstra, Willem, Geertsema-Doornbusch, Gésinda I., Atema-Smit, Jelly, Sjollema, Jelmer, Ren, Yijin, Busscher, Henk J., van der Mei, Henny C.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Nature Publishing Group UK 05.07.2019
Nature Publishing Group
Schlagworte:
13
14
14/63
631/326/46
631/57
639/624/1075
Algorithms
Bacteria
Bacteria - growth & development
Biofilms
Biofilms - growth & development
Cocci
Enumeration
Humanities and Social Sciences
Medical imaging
Models, Theoretical
multidisciplinary
Scaling
Science
Science (multidisciplinary)
Species
Strains (organisms)
Tomography
Tomography, Optical Coherence
ISSN:2045-2322, 2045-2322
Online-Zugang:Volltext
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Zusammenfassung:Optical-coherence-tomography (OCT) is a non-destructive tool for biofilm imaging, not requiring staining, and used to measure biofilm thickness and putative comparison of biofilm structure based on signal intensity distributions in OCT-images. Quantitative comparison of biofilm signal intensities in OCT-images, is difficult due to the auto-scaling applied in OCT-instruments to ensure optimal quality of individual images. Here, we developed a method to eliminate the influence of auto-scaling in order to allow quantitative comparison of biofilm densities in different images. Auto- and re-scaled signal intensities could be qualitatively interpreted in line with biofilm characteristics for single and multi-species biofilms of different strains and species (cocci and rod-shaped organisms), demonstrating qualitative validity of auto- and re-scaling analyses. However, specific features of pseudomonas and oral multi-species biofilms were more prominently expressed after re-scaling. Quantitative validation was obtained by relating average auto- and re-scaled signal intensities across biofilm images with volumetric-bacterial-densities in biofilms, independently obtained using enumeration of bacterial numbers per unit biofilm volume. The signal intensities in auto-scaled biofilm images did not significantly relate with volumetric-bacterial-densities, whereas re-scaled intensities in images of biofilms of widely different strains and species increased linearly with independently determined volumetric-bacterial-densities in the biofilms. Herewith, the proposed re-scaling of signal intensity distributions in OCT-images significantly enhances the possibilities of biofilm imaging using OCT.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-019-46196-7